1,887 research outputs found

    A first approach to the Design Component in the agri-food industry of southern Spain

    Get PDF
    This work raises the need to open new research lines to bring closer "Design" and "Agri-food Industry", understanding design as a structured and multidisciplinary working process headed up to create products, images, spaces, etc. Within this framework, the following objectives have been outlined: i) Identification of the major design areas with regards to the agri-food sector, ii) estimation of the importance of the "Design" component and iii) definition of the possible lines of action. After carrying out a previous bibliometric analysis, which highlighted the lack of relevant bibliography regarding the design component in the agri-food sector, the Delphi method was selected as a suitable working methodology to interactively and systematically answer the aforementioned questions by relying on a panel of experts. The obtained results pointed out to the need of providing incentives for design in agri-food industry as a non-technological innovation aimed at increasing the added value and development of the sector. This should also help promote the design culture and push forward the creation of innovative business strategies.This work raises the need to open new research lines to bring closer "Design" and "Agri-food Industry", understanding design as a structured and multidisciplinary working process headed up to create products, images, spaces, etc. Within this framework, the following objectives have been outlined: i) Identification of the major design areas with regards to the agri-food sector, ii) estimation of the importance of the "Design" component and iii) definition of the possible lines of action. After carrying out a previous bibliometric analysis, which highlighted the lack of relevant bibliography regarding the design component in the agri-food sector, the Delphi method was selected as a suitable working methodology to interactively and systematically answer the aforementioned questions by relying on a panel of experts. The obtained results pointed out to the need of providing incentives for design in agri-food industry as a non-technological innovation aimed at increasing the added value and development of the sector. This should also help promote the design culture and push forward the creation of innovative business strategies

    Una primera aproximación a la componente "Diseño" en la industria agroalimentaria del sur de España

    Get PDF
    This work raises the need to open new research lines to bring closer "Design" and "Agri-food Industry", understanding design as a structured and multidisciplinary working process headed up to create products, images, spaces, etc. Within this framework, the following objectives have been outlined: i) Identification of the major design areas with regards to the agri-food sector, ii) Estimation of the importance of the "Design" component and iii) Definition of the possible lines of action. After carrying out a previous bibliometric analysis, which highlighted the lack of relevant bibliography regarding the design component in the agri-food sector, the Delphi method was selected as a suitable working methodology to interactively and systematically answer the aforementioned questions by relying on a panel of experts. The obtained results pointed out to the need of providing incentives for design in agri-food industry as a non-technological innovation aimed at increasing the added value and development of the sector. This should also help promote the design culture and push forward the creation of innovative business strategies.Este trabajo plantea la necesidad de abrir nuevas líneas de investigación en las que se relacione "Diseño" e "Industria Agroalimentaria", entendiendo el diseño como un proceso de trabajo estructurado y multidisciplinar orientado a crear productos, imágenes, espacios, etc. En dicho contexto, se han planteado los siguientes objetivos: i) Identificación de las principales áreas de diseño dentro del sector agroalimentario. ii) Estimación de la importancia de la componente "Diseño". iii) Definición de las principales líneas de acción. Tras un análisis bibliométrico previo, que puso de relieve la carencia de bibliografía relevante en cuanto a la componente de diseño en el sector agroalimentario, se decidió establecer como metodología de trabajo el método Delphi para responder de forma interactiva y sistemática a las cuestiones planteadas, mediante la consulta a un panel de personas expertas. Los hallazgos obtenidos apuntan a la necesidad de proporcionar nuevos incentivos para el diseño en la industria agroalimentaria, como innovación no tecnológica dirigida a aumentar el valor añadido y el desarrollo del sector. Lo que ayudaría además a promover la cultura del diseño y avanzar en la creación de estrategias empresariales innovadoras.Fil: González-Yebra, Óscar. Universidad de AlmeríaFil: Aguilar, Manuel A.. Universidad de AlmeríaFil: Aguilar, Fernando J.. Universidad de Almerí

    Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain)

    Get PDF
    tThis paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral Instrument (MSI)and Landsat 8 (L8) Operational Land Imager (OLI) headed up to greenhouse detection. Two closely relatedin time scenes, one for each sensor, were classified by using Object Based Image Analysis and RandomForest (RF). The RF input consisted of several object-based features computed from spectral bands andincluding mean values, spectral indices and textural features. S2 and L8 data comparisons were alsoextended using a common segmentation dataset extracted form VHR World-View 2 (WV2) imagery totest differences only due to their specific spectral contribution. The best band combinations to performsegmentation were found through a modified version of the Euclidian Distance 2 index. Four differentRF classifications schemes were considered achieving 89.1%, 91.3%, 90.9% and 93.4% as the best overallaccuracies respectively, evaluated over the whole study area

    AssesSeg—A Command Line Tool to Quantify Image Segmentation Quality: A Test Carried Out in Southern Spain from Satellite Imagery

    Get PDF
    This letter presents the capabilities of a command line tool created to assess the quality of segmented digital images. The executable source code, called AssesSeg, was written in Python 2.7 using open source libraries. AssesSeg (University of Almeria, Almeria, Spain; Politecnico di Bari, Bari, Italy) implements a modified version of the supervised discrepancy measure named Euclidean Distance 2 (ED2) and was tested on different satellite images (Sentinel-2, Landsat 8, and WorldView-2). The segmentation was applied to plastic covered greenhouse detection in the south of Spain (Almería). AssesSeg outputs were utilized to find the best band combinations for the performed segmentations of the images and showed a clear positive correlation between segmentation accuracy and the quantity of available reference data. This demonstrates the importance of a high number of reference data in supervised segmentation accuracy assessment problems

    Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)

    Get PDF
    A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary preclassification between greenhouses and non-greenhouses, and (iv) classification of horticultural crops under greenhouses regarding two agronomic seasons (autumn and spring). The segmentation stage was carried out by applying a multi-resolution segmentation algorithm on the pre-processed WorldView-2 data. The free access AssesSeg command line tool was used to determine the more suitable multi-resolution algorithm parameters. Two decision tree models mainly based on the Plastic Greenhouse Index were developed to perform greenhouse/non-greenhouse binary classification from Landsat 8 and Sentinel-2A time series, attaining overall accuracies of 92.65% and 93.97%, respectively. With regards to the classification of crops under PCG, pepper in autumn, and melon and watermelon in spring provided the best results (Fβ around 84% and 95%, respectively). Data from the Sentinel-2A time series showed slightly better accuracies than those from Landsat 8

    Improving georeferencing accuracy of Very High Resolution satellite imagery using freely available ancillary data at global coverage

    Get PDF
    While impressive direct geolocation accuracies better than 5.0 m CE90 (90% of circular error) can be achieved from the last DigitalGlobe’s Very High Resolution (VHR) satellites (i.e. GeoEye-1 and WorldView-1/2/3/4), it is insufficient for many precise geodetic applications. For these sensors, the best horizontal geopositioning accuracies (around 0.55 m CE90) can be attained by using third-order 3D rational functions with vendor’s rational polynomial coefficients data refined by a zero-order polynomial adjustment obtained from a small number of very accurate ground control points (GCPs). However, these high-quality GCPs are not always available. In this work, two different approaches for improving the initial direct geolocation accuracy of VHR satellite imagery are proposed. Both of them are based on the extraction of three-dimensional GCPs from freely available ancillary data at global coverage such as multi-temporal information of Google Earth and the Shuttle Radar Topography Mission 30 m digital elevation model. The application of these approaches on WorldView-2 and GeoEye-1 stereo pairs over two different study sites proved to improve the horizontal direct geolocation accuracy values around of 75%

    Classification of urban areas from GeoEye-1 imagery through texture features based on Histograms of Equivalent Patterns

    Get PDF
    A family of 26 non-parametric texture descriptors based on Histograms of Equivalent Patterns (HEP) has been tested, many of them for the first time in remote sensing applications, to improve urban classification through object-based image analysis of GeoEye-1 imagery. These HEP descriptors have been compared to the widely known texture measures derived from the gray-level co-occurrence matrix (GLCM). All the five finally selected HEP descriptors (Local Binary Patterns, Improved Local Binary Patterns, Binary Gradient Contours and two different combinations of Completed Local Binary Patterns) performed faster in terms of execution time and yielded significantly better accuracy figures than GLCM features. Moreover, the HEP texture descriptors provided additional information to the basic spectral features from the GeoEye-1's bands (R, G, B, NIR, PAN) significantly improving overall accuracy values by around 3%. Conversely, and in statistic terms, strategies involving GLCM texture derivatives did not improve the classification accuracy achieved from only the spectral information. Lastly, both approaches (HEP and GLCM) showed similar behavior with regard to the training set size applied

    Influence of Teaching Style on Physical Education Adolescents’ Motivation and Health-Related Lifestyle

    Get PDF
    According to various WHO reports in 2018, a large number of adolescents worldwide are either overweight or obese. This situation is the result of not following a healthy and balanced diet, combined with a lack of practice of physical activity. In this sense, Physical Education classes could help to solve the problem. The present study seeks to analyze the relationship between the role of the teacher in relation to the structural dimensions of the PE teaching environment and the basic psychological needs and self-motivation of adolescents as determinants of their behaviors related to eating habits and the practice of physical activity. A total of 1127 secondary school adolescents between the ages of 13 and 18 participated in this study. Questionnaires were used: Perceived Autonomy Support Scale, Psychologically Controlling Teaching Scale, Basic Psychological Needs in Physical Education, Frustration of Psychological Needs in PE context, Physical Activity Class Satisfaction Questionnaire, Perceived Locus of Causality Revised, and WHO’s Global school-based student health survey. A structural equations model was elaborated to explain the causal relationships between the variables. The results showed that autonomy support positively predicted the three structural dimensions of PE classes, while, in contrast, they were negatively predicted by psychological control. The three structural dimensions positively predicted the satisfaction of psychological needs and negatively predicted the thwarting of psychological needs. Self-determined motivation was positively predicted by the satisfaction of psychological needs and negatively predicted by the thwarting of psychological needs. Finally, self-determined motivation positively predicted healthy eating habits and the practice of physical activity and negatively predicted unhealthy eating habits. Certainly, the results obtained in this study support the postulates of the self-determination theory, demonstrating the predictability of PE class context towards the adoption of healthy lifestyle habits, such as a proper diet and the regular practice of physical activity

    RAPID COLONIZATION OF ECUADOR BY THE TROPICAL MOCKINGBIRD (MIMUS GILVUS)

    Get PDF
    ABSTRACT Some species benefit from anthropogenic ecosystem disturbance expanding their distribution ranges rapidly into altered areas. Given the current availability of anthropogenic landscapes in the Neotropic, it is important to document cases of species’ range extensions to better understand the factors that influence their distribution. In this manuscript, we document the colonization process of the Tropical Mockingbird (Mimus gilvus) in Ecuador since its arrival from Colombia in 1996, and analyze its range expansion to predict its future distribution based on a potential distribution climate model. Data collected indicate that the species has expanded 300 km southwards since first recorded in Ecuador. Given the availability of suitable climate conditions and the availability of disturbed land, it is expected that M. gilvus will continue its current range expansion southwards, occupying most Ecuador, mainly along inter‐Andean valleys.RESUMEN ∙ La rápida colonización del Sinsonte Tropical (Mimus gilvus) en Ecuador Algunas especies se benefician del disturbio antropogénico sobre los ecosistemas, expandiendo rápidamente sus rangos de distribución hacia áreas alteradas. Dada la disponibilidad actual de paisajes antropogénicos en el Neotrópico, es importante documentar los casos de expansión de rango de las especies para comprender mejor los factores que influyen en la distribución de estas. Aquí documentamos el proceso de colonización del Sinsonte Tropical (Mimus gilvus) en Ecuador, desde su arribo de Colombia en 1996, y analizamos su expansión de rango para predecir su futura distribución en base a un modelo climático de su rango potencial. Los datos obtenidos indicaron que la especie se ha expandido 300 km hacia el sur desde su primer reporte en Ecuador. Dada la disponibilidad de condiciones climáticas favorables y de áreas disturbadas, se espera que M. gilvus continúe su actual expansión hacia el sur, ocupando la mayor parte del Ecuador, principalmente los valles interandinos

    Validation of the Satisfaction Scale of Basic Psychological Needs in Physical Education with the Incorporation of the Novelty in the Spanish Context

    Get PDF
    The purpose of the study was to validate to the physical education context, the Spanish version of the Scale of the Satisfaction of Psychological Needs toward the Physical Education classes of Menéndez and Fernández-Rio, with the incorporation of the novelty, since they contemplated its inclusion. In this study, 1444 students participated (mean = 15.34, standard deviation = 1.12) from several schools in Almeria. To analyze the psychometric properties of the scale, several analyses were carried out. The results offered support for both the four-factor structure and the higher-order model called satisfaction. The analysis of invariance with respect to gender showed that the factor structure of the questionnaire was invariant. The Cronbach alpha values were higher than 0.70 in the subscales. The results of this study demonstrated the reliability and validity of the Scale of the Satisfaction of Psychological Needs, with the incorporation of novelty in the Spanish context of Physical Education
    corecore